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Applications of the Open-Source Hardware Arduino Platform in the Mining Industry: A Review

doi: 10.3390/app10145018
In this study, applications of the Arduino platform in the mining industry were reviewed. Arduino, a representative and popular open-source hardware, can acquire information from various sensors, transmit data using communication technology, and control devices through actuators. The review was conducted by classifying previous studies into three types of Arduino applications: field monitoring systems, wearable systems, and autonomous systems. With regard to field monitoring systems, most studies in mines were classified as atmospheric or geotechnical monitoring. In wearable systems, the health status of the miner was an important consideration, in addition to the environmental conditions of the mine. Arduino can be a useful tool as an initial prototype for autonomous mine systems. Arduino has advantages in that it can be combined with various electronic products and is cost-effective. Therefore, although many studies have been conducted in the laboratory (as opposed to field tests), Arduino applications can be further expanded in the mining field in the future.
- Kangwon National University Korea (Republic of)
- Pukyong National University Korea (Republic of)
- Pukyong National University Korea (Republic of)
- Kangwon National University Korea (Republic of)
Technology, QH301-705.5, T, Physics, QC1-999, Engineering (General). Civil engineering (General), wearable, monitoring, Chemistry, open-source hardware, Arduino, TA1-2040, Biology (General), autonomous system, QD1-999
Technology, QH301-705.5, T, Physics, QC1-999, Engineering (General). Civil engineering (General), wearable, monitoring, Chemistry, open-source hardware, Arduino, TA1-2040, Biology (General), autonomous system, QD1-999
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).35 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
